System and method for dynamically managing message flow. According to the example embodiments, an intermediary network device or a client device dynamically manages the flow of messages received from an electronic exchange by analyzing the client device's capabilities, such as CPU utilization. Based on a percentage of total CPU utilization, the level of throttling is dynamically adjusted, such that if the percentage of CPU utilization, or load, increases, then throttling is increased from a lower level to a higher level. Similarly, if the percentage of CPU utilization decreases significantly enough, then throttling is decreased to a lower level.
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1. A method comprising: monitoring, via a client device, a resource of the client device; dynamically throttling, via the client device, market information received at the client device from an electronic exchange between a plurality of levels of throttling according to utilization of the monitored resource, where each level of throttling of the plurality of levels of throttling includes storing the market information received at the client device via the client device for a corresponding hold time; and displaying, via the client device, the dynamically throttled market information according to expiration of the corresponding hold time for the level of throttling.
A client device manages incoming market data from an electronic exchange by monitoring its own resource utilization (e.g., CPU). The device dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. Each level involves storing received market data for a specific hold time before it is displayed. When CPU utilization is high, the device uses a higher throttling level with a longer hold time. When CPU utilization decreases, the throttling level decreases, and data is displayed more quickly.
2. The method of claim 1 where each level of throttling of the plurality of levels of throttling is selected according to a utilization level of the monitored resource.
The client device, which monitors its own resource utilization (e.g., CPU) and dynamically adjusts the rate at which market information is processed from an electronic exchange, selects each throttling level based on the utilization level of the monitored resource. When the CPU is heavily utilized, a throttling level suited for high utilization is chosen, and vice versa. Each throttling level involves storing received market data for a specific hold time before display.
3. The method of claim 2 further comprising: receiving a throttling management strategy via the client device; and selecting a level of throttling of the plurality of levels of throttling based on the throttling management strategy.
The client device manages incoming market data from an electronic exchange by monitoring its own resource utilization (e.g., CPU). It first receives a "throttling management strategy," and then selects a throttling level based on this strategy. The strategy dictates how the device should respond to different levels of resource utilization, instructing it to choose a specific throttling level based on pre-defined rules or algorithms within the strategy. Each level involves storing received market data for a specific hold time before display.
4. The method of claim 3 where each level of throttling of the plurality of levels of throttling comprises a different hold time.
The client device manages incoming market data from an electronic exchange by monitoring its own resource utilization (e.g., CPU) and dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. The throttling management strategy is based on different "hold times". Each throttling level involves storing received market data for a *different* hold time before display. For instance, a high throttling level might hold data for 5 seconds, while a low throttling level might hold data for only 1 second.
5. The method of claim 1 where the monitored resource comprises a central processing unit.
The client device manages incoming market data from an electronic exchange by monitoring its own **central processing unit (CPU)** utilization. The device dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. Each level involves storing received market data for a specific hold time before it is displayed. When CPU utilization is high, the device uses a higher throttling level with a longer hold time. When CPU utilization decreases, the throttling level decreases, and data is displayed more quickly.
6. The method of claim 1 where dynamically throttling the market information comprises adjusting between at least a first level of throttling and a second level of throttling according to a change in a utilization level of the monitored resource.
The client device manages incoming market data from an electronic exchange by monitoring its own resource utilization (e.g., CPU). The device dynamically adjusts the flow of market information between **at least two throttling levels** based on changes in the monitored resource's utilization. If CPU utilization increases, the device switches from a lower throttling level to a higher one. If CPU utilization decreases, it switches from a higher throttling level to a lower one. Each level involves storing received market data for a specific hold time before it is displayed.
7. The method of claim 1 where the monitored resource comprises a plurality of central processing units.
The client device manages incoming market data from an electronic exchange by monitoring its own **multiple central processing units (CPUs)** utilization. The device dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. Each level involves storing received market data for a specific hold time before it is displayed. When CPU utilization is high, the device uses a higher throttling level with a longer hold time. When CPU utilization decreases, the throttling level decreases, and data is displayed more quickly.
8. The method of claim 7 where the utilization of the monitored resource comprises utilization of a first central processing unit of the plurality of central processing units.
The client device manages incoming market data from an electronic exchange by monitoring its utilization of multiple CPUs. It uses the utilization of **one particular CPU** from among the multiple CPUs to determine the throttling level. The device dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. Each level involves storing received market data for a specific hold time before it is displayed.
9. The method of claim 8 where the first central processing unit comprises a busiest central processing unit of the plurality of central processing units.
The client device manages incoming market data from an electronic exchange by monitoring its utilization of multiple CPUs. It uses the utilization of **the busiest CPU** from among the multiple CPUs to determine the throttling level. The device dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. Each level involves storing received market data for a specific hold time before it is displayed. This ensures that the throttling is responsive to the most heavily loaded CPU.
10. The method of claim 1 where the utilization of a monitored resource is based on incoming messages.
The client device manages incoming market data from an electronic exchange. The utilization of the monitored resource (e.g., CPU) is determined **based on the volume of incoming messages**. A high rate of incoming messages translates to a higher resource utilization level, triggering increased throttling. Conversely, a lower message rate results in lower resource utilization and decreased throttling. The device dynamically adjusts the rate at which market information is processed by employing multiple throttling levels. Each level involves storing received market data for a specific hold time before it is displayed.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
September 17, 2014
May 2, 2017
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